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On Analysis of Rural and Urban Indian Fingerprint Images

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Ethics and Policy of Biometrics (ICEB 2010)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 6005))

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Abstract

This paper presents a feasibility study to compare the performance of fingerprint recognition on rural and urban Indian population. The analysis shows that rural population is very challenging and existing algorithms/systems are unable to provide acceptable performance. On the other hand, fingerprint recognition algorithms provide comparatively better performance on urban population. The study also shows that poor images quality, worn and damaged patterns and some special characteristics affect the performance of fingerprint recognition.

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References

  1. Maltoni, D., Maio, D., Jain, A.K., Prabhakar, S.: Handbook of fingerprint recognition. Springer, Heidelberg (2003)

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  2. Jain, A.K., Bolle, R., Hong, L.: Online fingerprint verification. IEEE Transactions on Pattern Analysis and Machine Intelligence 19(4), 302–314 (1997)

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  3. Jain, A.K., Prabhakar, S., Hong, L., Pankanti, S.: Filterbank-based fingerprint matching. IEEE Transactions on Image Processing 9(5), 846–859 (2000)

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© 2010 Springer-Verlag Berlin Heidelberg

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Puri, C., Narang, K., Tiwari, A., Vatsa, M., Singh, R. (2010). On Analysis of Rural and Urban Indian Fingerprint Images. In: Kumar, A., Zhang, D. (eds) Ethics and Policy of Biometrics. ICEB 2010. Lecture Notes in Computer Science, vol 6005. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12595-9_8

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  • DOI: https://doi.org/10.1007/978-3-642-12595-9_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12594-2

  • Online ISBN: 978-3-642-12595-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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